DatriseAI-first ETL

RD Station CRM PostgreSQL

AI-first ETL from RD Station CRM into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station CRM into PostgreSQL

Datrise syncs RD Station CRM's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How RD Station CRM entities map to PostgreSQL

RD Station CRM entityPostgreSQL objectNotes
contactsrd_station_crm_contactsid PK · custom fields → jsonb columns
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiestimestamptz events

FAQ

How does Datrise handle RD Station CRM's custom fields in PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the RD Station CRM to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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